Senior Agentic AI Engineer

We are seeking aSenior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving the architecture and reliability of production-grade agentic workflows.

Responsibilities

• Design the architecture for building, deploying, and operating autonomous agents, including runtime, memory, identity, tools, and observability
• Lead the use of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
• Design long-term memory and context-management systems that hold up across multi-step engagements
• Build and curate MCP servers and tool integrations the agents call out to, such as recon, scanners, exploit primitives, and custom internal services
• Drive reliability, cost, and latency of agent reasoning, and set the bar for evals, tracing, and guardrails

Requirements

• 3+ years of experience building production software, including 1+ years shipping LLM-based agents to production
• Proficiency in Python and hands-on experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
• Familiarity with AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up fast
• Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
• Skills in designing for production, including observability, guardrails, retries, cost control, and security boundaries
• English proficiency at B2 level or higher

Nice to have

• Background in application security, web pentesting, or red-teaming
• Experience with sandboxed code execution, browser agents, or autonomous tool orchestration